Verified65% confidenceFactTime unknown
FP16精度下，大模型每10亿参数约需2GB显存
3
Sources
65%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
企业大模型选型指南：Llama3.1、Qwen2.5、DeepSeek深度对比
bilibili云栖智联
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UnverifiedFP16格式下，大模型显存需求的估算公式为：参数量 × 2 = 所需显存（GB），即每个参数以16位（2字节）浮点数存储78% similarUnverified以FP32存储一个拥有1亿参数的模型需要约400MB内存77% similarUnverified1750亿参数模型仅模型权重（BF16精度）就需350GB存储，Adam优化器需维护一阶矩和二阶矩两份状态，合计超过1TB77% similarUnverified以 float16 精度为基准每个参数约占 2 字节，7B 模型约需 14GB 显存/内存，70B 模型约需 140GB74% similarUnverified大模型推理服务的快照数据量可能达到数十GB甚至上百GB74% similar
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